nwaughachukwuma/mm-ctx-storage
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Chukwuma Nwaugha
nwaughachukwuma
AI & ML interests
NLP for Sentiments and Emotions Analysis; Word Similarities; Text relevance within the context of a Sentence; Word search
Recent Activity
repliedto their post about 18 hours ago
Can a text-only model + a vision toolkit (mm-ctx) match a native vision model?
We benchmarked 4 setups on 23 multimodal tasks (image, video, audio, PDF):
• glm-5.2 (text-only) + mm-ctx: 88.4
• gemini-3.5-flash (vision): 83
• deepseek-v4-pro (text-only) + mm-ctx: 79.4
• qwen3.6-35b-a3b (vision): 44.3
The best text-only setup closes 89% of the gap to the top vision model.
Full report: https://huggingface.co/blog/vlm-run/text-only-models-with-mm repliedto their post about 18 hours ago
Can a text-only model + a vision toolkit (mm-ctx) match a native vision model?
We benchmarked 4 setups on 23 multimodal tasks (image, video, audio, PDF):
• glm-5.2 (text-only) + mm-ctx: 88.4
• gemini-3.5-flash (vision): 83
• deepseek-v4-pro (text-only) + mm-ctx: 79.4
• qwen3.6-35b-a3b (vision): 44.3
The best text-only setup closes 89% of the gap to the top vision model.
Full report: https://huggingface.co/blog/vlm-run/text-only-models-with-mm published an article about 18 hours ago
Text-Only Models with mm-ctx Vision Toolkit vs. Native Vision ModelsOrganizations